Bot traffic: baylesshigh.com

all sites · all domains · last 15 days

All sites · All Domains · Visit baylesshigh.com

Who is really visiting baylesshigh.com?

Between Oct 23 and Nov 6, baylesshigh.com received 63,630 requests. About 97% came from automated software and about 1.7% look like real people.

That works out to about 98 human visitors, roughly 7 a day, who opened 127 pages between them. 29 of them read more than one page.

The biggest source is scanners hunting for security holes. They try the same list of common weak spots on every site they find.

Bottom line: the hit counts on the All Domains worksheet are almost entirely bots. Use the human visitor figure here to judge this site's real audience.

97%of requests from bots
98human visitors (estimate)
127pages opened by people
63,630total requests, 15 days

Where the requests came from

People 1.7%Named bots 9.5%Disguised bots 11%Scanners 77%Unclear 1.0%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
02,0004,0006,0008,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

Same days, people only, on their own scale so they are visible.

0481216Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 63,630ShareData sentBlockedby the serverWhat this means
Break-in scanners39,65362%37 MB21,251Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers9,38115%116 MB41Other requests from an address also caught probing for weak spots.
Disguised scrapers3,5185.5%79 MB3Claims to be a normal browser but only downloads pages, never the images or icons a real browser fetches, reads many pages without ever clicking a link, or runs from a cloud provider.
Scripts and tools2,9674.7%44 MB34Programs such as curl or Python, or anything with an unrecognizable name.
AI crawlers2,0973.3%5 MB135AI companies gathering pages or answering a user's question, and saying so.
Other named bots2,0213.2%24 MB20Any other software that identifies itself as a bot.
Search engines1,5662.5%8 MB15Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Likely people1,0241.6%92 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Unclear6461.0%6 MB0Browser name, but fetched only an image or data file and no page. Could be either.
SEO and marketing tools3330.5%1 MB154Commercial tools that sell data about websites.
Automated browsers2750.4%1 MB1Loads images like a browser, but too fast for a person or with a faked browser name.
No name given1050.2%<1 MB4Requests that give no software name at all.
Possibly people440.1%<1 MB0Read 1 to 3 pages, arrived from a search engine or social link, no icons fetched. Referrers can be faked, so treat these as maybe.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers485
GooglebotSearch engines420
OAI-SearchBotAI crawlers314
PetalBotSearch engines279
bingbotSearch engines243
QlyzeBotOther named bots198
ApplebotSearch engines170
SemrushBotSEO and marketing tools157
GPTBotAI crawlers143
Amzn-SearchBotSearch engines138
BytespiderAI crawlers120
SofyaBotOther named bots118
YouBotAI crawlers93
ChatGPT-UserAI crawlers92
QwenbotOther named bots91

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/62
/news/6
/resources/5
/about/4
/faq/4
/classmates/2

How people arrived

Referring siteHuman visitors
m.baidu.com17
www.google.com9
xenodinlims.blogspot.com1
search.yahoo.com1
www.google.com.hk1
t.co1

Where disguised bots operate from

Address blocks, not individual addresses. A heavily used block with many addresses suggests one operator rotating through them.

Address blockRequestsAddresses used
158.69.0.0/164122
192.42.0.0/1626244
183.207.0.0/162453
117.132.0.0/161641
5.102.0.0/161203
136.86.0.0/161111
66.249.0.0/161063
102.129.0.0/16921

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23343342014,199194,81398%
Oct 2413152182082,272262,87294%
Oct 25222964275,152285,90699.5%
Oct 2615184304265,685236,65198%
Oct 278122331,4271,288212,99598%
Oct 28672411,3122,787834,54895%
Oct 2910122874301,0871051,92694%
Oct 30884072902,532513,40795%
Oct 31452872236,985697,57299%
Nov 111131,0524663,363515,13995%
Nov 2114922183,464584,23499%
Nov 3682216282,047213,02196%
Nov 412144982482,085433,01894%
Nov 5343041691,582202,08199%
Nov 6347171924,506285,44799.4%

How this was measured

Every request in the server log was sorted by what it did, not only what it claimed to be. Bots that name themselves are counted as named. Anything claiming to be a browser had to act like one: open a page, fetch its images or icons, move at human speed, and come from outside the big cloud providers. These are estimates. A careful bot can pass the test, and a person with images blocked or a cached icon can fail it, so read the human figures as a good approximation, not an exact count. One person using two devices counts as two visitors. Google Analytics-style tools would show different numbers because most bots never run their script. Logs are kept for 15 days.

Built 2026-11-06 22:43 UTC from 15 log files.